package python

var torchOverrides = []string{
	"AA-module",
	"ABlooper",
	"AnalysisG",
	"AutoRAG",
	"BERTeam",
	"BxTorch",
	"Byaldi",
	"CALM-Pytorch",
	"COPEX-high-rate-compression-quality-metrics",
	"CityLearn",
	"CoCa-pytorch",
	"CoLT5-attention",
	"ComfyUI-EasyNodes",
	"Crawl4AI",
	"DALL-E",
	"DI-toolkit",
	"DatasetRising",
	"DeepCache",
	"DeepMatter",
	"Draugr",
	"ESRNN",
	"En-transformer",
	"ExpoSeq",
	"FLAML",
	"FSRS-Optimizer",
	"GANDLF",
	"GQLAlchemy",
	"GhostScan",
	"GraKeL",
	"HEBO",
	"IOPaint",
	"ISLP",
	"InvokeAI",
	"JAEN",
	"KapoorLabs-Lightning",
	"LightAutoML",
	"LingerGRN",
	"MMEdu",
	"MRzeroCore",
	"Modeva",
	"NeuralFoil",
	"NiMARE",
	"NinjaTools",
	"OpenHosta",
	"OpenNMT-py",
	"POT",
	"PVNet",
	"PaLM-rlhf-pytorch",
	"PepperPepper",
	"PiML",
	"Poutyne",
	"QNCP",
	"RAGatouille",
	"RareGO",
	"RealtimeSTT",
	"RelevanceAI-Workflows-Core",
	"Resemblyzer",
	"ScandEval",
	"Simba-UW-tf-dev",
	"SwissArmyTransformer",
	"TPOT",
	"TTS",
	"TorchCRF",
	"TotalSegmentator",
	"UtilsRL",
	"WhisperSpeech",
	"XAISuite",
	"a-unet",
	"a5dev",
	"accelerate",
	"accelerated-scan",
	"accern-xyme",
	"achatbot",
	"acids-rave",
	"actorch",
	"acvl-utils",
	"adabelief-pytorch",
	"adam-atan2-pytorch",
	"adan-pytorch",
	"adapters",
	"admin-torch",
	"adtoolbox",
	"adversarial-robustness-toolbox",
	"aeiou",
	"aeon",
	"africanwhisper",
	"ag-llama-api",
	"agentdojo",
	"agilerl",
	"ai-edge-torch-nightly",
	"ai-parrot",
	"ai-python",
	"ai-transform",
	"ai2-olmo",
	"ai2-olmo-core",
	"ai2-tango",
	"aicmder",
	"aider-chat",
	"aider-chat-x",
	"aif360",
	"aihwkit",
	"aimodelshare",
	"airllm",
	"airtestProject",
	"airunner",
	"aisak",
	"aislib",
	"aisquared",
	"aistore",
	"aithree",
	"akasha-terminal",
	"alibi",
	"alibi-detect",
	"alignn",
	"all-clip",
	"allennlp",
	"allennlp-models",
	"allennlp-pvt-nightly",
	"allophant",
	"allosaurus",
	"aloy",
	"alpaca-eval",
	"alphafold2-pytorch",
	"alphafold3-pytorch",
	"alphamed-federated",
	"alphawave",
	"amazon-braket-pennylane-plugin",
	"amazon-photos",
	"anemoi-graphs",
	"anemoi-models",
	"anomalib",
	"apache-beam",
	"apache-tvm",
	"aperturedb",
	"aphrodite-engine",
	"aqlm",
	"arcAGI2024",
	"archisound",
	"argbind",
	"arize",
	"arm-pytorch-utilities",
	"array-api-compat",
	"arus",
	"assert-llm-tools",
	"asteroid",
	"asteroid-filterbanks",
	"astra-llm",
	"astrovision",
	"atomate2",
	"attacut",
	"audio-diffusion-pytorch",
	"audio-encoders-pytorch",
	"audio-separator",
	"audiocraft",
	"audiolm-pytorch",
	"auralis",
	"auraloss",
	"auto-gptq",
	"autoawq",
	"autoawq-kernels",
	"autogluon.multimodal",
	"autogluon.tabular",
	"autogluon.timeseries",
	"autotrain-advanced",
	"avdeepfake1m",
	"aws-fortuna",
	"ax-platform",
	"azureml-automl-dnn-vision",
	"azureml-contrib-automl-dnn-forecasting",
	"azureml-evaluate-mlflow",
	"azureml-metrics",
	"azureml-train-automl",
	"b2bTools",
	"backpack-for-pytorch",
	"balrog-nle",
	"batch-face",
	"batchalign",
	"batchgeneratorsv2",
	"batchtensor",
	"bbrl",
	"benchpots",
	"bent",
	"bert-score",
	"bertopic",
	"bertviz",
	"bestOf",
	"betty-ml",
	"big-sleep",
	"bigdl-core-cpp",
	"bigdl-core-npu",
	"bigdl-llm",
	"bigdl-nano",
	"bioimageio.core",
	"bitfount",
	"bitsandbytes",
	"bittensor",
	"bittensor-cli",
	"blackboxopt",
	"blanc",
	"blindai",
	"bm25-pt",
	"boltz",
	"botorch",
	"boxmot",
	"brainchain",
	"braindecode",
	"brevitas",
	"briton",
	"browsergym-visualwebarena",
	"buzz-captions",
	"byotrack",
	"byzerllm",
	"c4v-py",
	"calflops",
	"came-pytorch",
	"camel-ai",
	"camel-tools",
	"cannai",
	"captum",
	"carte-ai",
	"carvekit-colab",
	"catalyst",
	"causalml",
	"causalnex",
	"causy",
	"cbrkit",
	"cca-zoo",
	"cdp-backend",
	"cellacdc",
	"cellfinder",
	"cellpose",
	"cellxgene-census",
	"chattts",
	"chemprop",
	"chgnet",
	"chitra",
	"circuitsvis",
	"cjm-yolox-pytorch",
	"clarinpl-embeddings",
	"class-resolver",
	"classifier-free-guidance-pytorch",
	"classiq",
	"classy-core",
	"clean-fid",
	"cleanvision",
	"clip-anytorch",
	"clip-benchmark",
	"clip-by-openai",
	"clip-interrogator",
	"clip-retrieval",
	"cltk",
	"clu",
	"clusterops",
	"cnocr",
	"cnstd",
	"coba",
	"cofi",
	"colbert-ai",
	"colpali-engine",
	"compel",
	"composabl-ray",
	"composabl-ray-dev",
	"composabl-train",
	"composabl-train-dev",
	"composer",
	"compressai",
	"compressed-tensors",
	"compressed-tensors-nightly",
	"concrete-python",
	"confit",
	"conformer",
	"contextualSpellCheck",
	"continual-inference",
	"controlnet-aux",
	"convokit",
	"coola",
	"coqui-tts",
	"coqui-tts-trainer",
	"craft-text-detector",
	"creme",
	"crocodile",
	"crowd-kit",
	"cryoSPHERE",
	"csle-common",
	"csle-system-identification",
	"ctgan",
	"curated-transformers",
	"cut-cross-entropy",
	"cvat-sdk",
	"cybertask",
	"d3rlpy",
	"dalle-pytorch",
	"dalle2-pytorch",
	"danila-lib",
	"danling",
	"darts",
	"darwin-py",
	"data-gradients",
	"datachain",
	"dataclass-array",
	"dataeval",
	"datarobot-drum",
	"datarobotx",
	"datasets",
	"datumaro",
	"dctorch",
	"deep-utils",
	"deepchecks",
	"deepchem",
	"deepctr-torch",
	"deepecho",
	"deepepochs",
	"deepforest",
	"deeplabcut",
	"deepmd-kit",
	"deepmultilingualpunctuation",
	"deepparse",
	"deeprobust",
	"deepsparse",
	"deepsparse-nightly",
	"deepspeed",
	"denoising-diffusion-pytorch",
	"descript-audio-codec",
	"descript-audiotools",
	"detecto",
	"detoxify",
	"dgenerate",
	"dghs-imgutils",
	"dgl",
	"dialogy",
	"dice-ml",
	"diffgram",
	"diffq",
	"diffusers",
	"distilabel",
	"distrifuser",
	"dnikit",
	"docarray",
	"doclayout-yolo",
	"docling-ibm-models",
	"docquery",
	"domino-code-assist",
	"dreamsim",
	"dropblock",
	"druida",
	"dvclive",
	"e2-tts-pytorch",
	"e2cnn",
	"e3nn",
	"easyocr",
	"ebtorch",
	"ecallisto-ng",
	"edsnlp",
	"effdet",
	"einx",
	"eir-dl",
	"eis1600",
	"eland",
	"ema-pytorch",
	"embedchain",
	"enformer-pytorch",
	"entmax",
	"esm",
	"espaloma-charge",
	"espnet",
	"etils",
	"etna",
	"evadb",
	"evalscope",
	"evaluate",
	"exllamav2",
	"extractable",
	"face-alignment",
	"facenet-pytorch",
	"facexlib",
	"fair-esm",
	"fairseq",
	"fairseq2",
	"fairseq2n",
	"faker-file",
	"farm",
	"fast-bert",
	"fast-pytorch-kmeans",
	"fastai",
	"fastcore",
	"fastestimator-nightly",
	"fasttreeshap",
	"fedml",
	"felupe",
	"femr",
	"fer",
	"fft-conv-pytorch",
	"fickling",
	"fireworks-ai",
	"flair",
	"flashrag-dev",
	"flax",
	"flexgen",
	"flgo",
	"flopth",
	"flowcept",
	"flytekitplugins-kfpytorch",
	"flytekitplugins-onnxpytorch",
	"fmbench",
	"focal-frequency-loss",
	"foldedtensor",
	"fractal-tasks-core",
	"freegenius",
	"freqtrade",
	"fschat",
	"funasr",
	"functorch",
	"funlbm",
	"funsor",
	"galore-torch",
	"garak",
	"garf",
	"gateloop-transformer",
	"geffnet",
	"genutility",
	"gfpgan",
	"gigagan-pytorch",
	"gin-config",
	"glasflow",
	"gliner",
	"gluonts",
	"gmft",
	"google-cloud-aiplatform",
	"gpforecaster",
	"gpt3discord",
	"gpytorch",
	"grad-cam",
	"graph-weather",
	"graphistry",
	"gravitorch",
	"gretel-synthetics",
	"gsplat",
	"guardrails-ai",
	"guidance",
	"gymnasium",
	"hanlp",
	"happytransformer",
	"hbutils",
	"heavyball",
	"hezar",
	"hf-deepali",
	"hf-doc-builder",
	"higher",
	"hjxdl",
	"hkkang-utils",
	"hordelib",
	"hpsv2",
	"huggingface-hub",
	"hummingbird-ml",
	"hvae-backbone",
	"hya",
	"hypothesis-torch",
	"ibm-metrics-plugin",
	"ibm-watson-machine-learning",
	"ibm-watsonx-ai",
	"icetk",
	"icevision",
	"iden",
	"idvpackage",
	"iglovikov-helper-functions",
	"imagededup",
	"imagen-pytorch",
	"imaginAIry",
	"img2vec-pytorch",
	"incendio",
	"inference",
	"inference-gpu",
	"infinity-emb",
	"info-nce-pytorch",
	"infoapps-mlops-sdk",
	"instructlab",
	"instructlab-dolomite",
	"instructlab-eval",
	"instructlab-sdg",
	"instructlab-training",
	"invisible-watermark",
	"iobm",
	"ipex-llm",
	"iree-turbine",
	"irisml",
	"irisml-tasks-azure-openai",
	"irisml-tasks-torchvision",
	"irisml-tasks-training",
	"item-matching",
	"ivadomed",
	"jaqpotpy",
	"jina",
	"judo",
	"junky",
	"k-diffusion",
	"k1lib",
	"k2",
	"kappadata",
	"kappamodules",
	"karbonn",
	"kats",
	"kbnf",
	"kedro-datasets",
	"keybert",
	"keytotext",
	"khoj",
	"kiui",
	"konfuzio-sdk",
	"kornia",
	"kornia-moons",
	"kraken",
	"kwarray",
	"kwimage",
	"labml-nn",
	"lagent",
	"laion-clap",
	"lale",
	"lama-cleaner",
	"lancedb",
	"langcheck",
	"langkit",
	"langroid",
	"langtest",
	"layoutparser",
	"ldp",
	"leafmap",
	"leap-ie",
	"leibniz",
	"leptonai",
	"letmedoit",
	"lhotse",
	"lib310",
	"libpecos",
	"librec-auto",
	"libretranslate",
	"liger-kernel",
	"liger-kernel-nightly",
	"lightly",
	"lightning",
	"lightning-bolts",
	"lightning-fabric",
	"lightning-habana",
	"lightning-lite",
	"lightrag",
	"lightweight-gan",
	"lightwood",
	"linear-attention-transformer",
	"linear-operator",
	"linformer",
	"linformer-pytorch",
	"liom-toolkit",
	"lion-pytorch",
	"lit-nlp",
	"litdata",
	"litelama",
	"litgpt",
	"llama-index-embeddings-adapter",
	"llama-index-embeddings-clip",
	"llama-index-embeddings-instructor",
	"llama-index-llms-huggingface",
	"llama-index-postprocessor-colbert-rerank",
	"llm-blender",
	"llm-foundry",
	"llm-guard",
	"llm-rs",
	"llm2vec",
	"llmcompressor",
	"llmlingua",
	"llmvm-cli",
	"lm-eval",
	"lmdeploy",
	"lmms-eval",
	"local-attention",
	"lovely-tensors",
	"lpips",
	"lycoris-lora",
	"mace-torch",
	"magic-pdf",
	"magicsoup",
	"magvit2-pytorch",
	"maite",
	"manga-ocr",
	"manifest-ml",
	"manipulation",
	"marker-pdf",
	"matgl",
	"med-imagetools",
	"medaka",
	"medcat",
	"medmnist",
	"megablocks",
	"megatron-energon",
	"memos",
	"meshgpt-pytorch",
	"metatensor-torch",
	"mflux",
	"mia-vgg",
	"miditok",
	"minari",
	"minicons",
	"ml2rt",
	"mlagents",
	"mlbench-core",
	"mlcroissant",
	"mlpfile",
	"mlx",
	"mlx-whisper",
	"mmaction2",
	"mmengine",
	"mmengine-lite",
	"mmocr",
	"mmpose",
	"mmsegmentation",
	"modeci-mdf",
	"model2vec",
	"modelscope",
	"modelspec",
	"monai",
	"monai-weekly",
	"monotonic-alignment-search",
	"monty",
	"mosaicml",
	"mosaicml-streaming",
	"moshi",
	"mteb",
	"mtmtrain",
	"multi-quantization",
	"myhand",
	"nGPT-pytorch",
	"naeural-core",
	"napari",
	"napatrackmater",
	"nara-wpe",
	"natten",
	"nbeats-pytorch",
	"nebulae",
	"nemo-toolkit",
	"neptune",
	"neptune-client",
	"nerfacc",
	"nerfstudio",
	"nessai",
	"netcal",
	"neural-rag",
	"neuralforecast",
	"neuralnets",
	"neuralprophet",
	"neuspell",
	"nevergrad",
	"nexfort",
	"nimblephysics",
	"nirtorch",
	"nkululeko",
	"nlp",
	"nlptooltest",
	"nnAudio",
	"nnodely",
	"nnsight",
	"nnunetv2",
	"noisereduce",
	"nonebot-plugin-nailongremove",
	"nowcasting-dataloader",
	"nowcasting-forecast",
	"nshtrainer",
	"nuwa-pytorch",
	"nvflare",
	"nvidia-modelopt",
	"ocf-datapipes",
	"ocnn",
	"ogb",
	"ohmeow-blurr",
	"olive-ai",
	"omlt",
	"ommlx",
	"onediff",
	"onediffx",
	"onnx2pytorch",
	"onnx2torch",
	"opacus",
	"open-clip-torch",
	"open-flamingo",
	"open-interpreter",
	"openbb-terminal-nightly",
	"openmim",
	"openparse",
	"openunmix",
	"openvino-dev",
	"openvino-tokenizers",
	"openvino-xai",
	"openwakeword",
	"opt-einsum-fx",
	"optimum",
	"optimum-habana",
	"optimum-intel",
	"optimum-neuron",
	"optimum-quanto",
	"optree",
	"optuna",
	"optuna-dashboard",
	"optuna-integration",
	"oracle-ads",
	"orbit-ml",
	"otx",
	"outetts",
	"outlines",
	"outlines-core",
	"paddlenlp",
	"pai-easycv",
	"pandasai",
	"panns-inference",
	"patchwork-cli",
	"peft",
	"pegasuspy",
	"pelutils",
	"penn",
	"perforatedai-freemium",
	"performer-pytorch",
	"petastorm",
	"pfio",
	"pgmpy",
	"phenolrs",
	"phobos",
	"pi-zero-pytorch",
	"pinecone-text",
	"piq",
	"pix2tex",
	"pix2text",
	"pnnx",
	"policyengine-us-data",
	"polyfuzz",
	"pomegranate",
	"positional-encodings",
	"prefigure",
	"product-key-memory",
	"ptflops",
	"ptwt",
	"pulser-core",
	"punctuators",
	"py2ls",
	"pyabsa",
	"pyannote.audio",
	"pyawd",
	"pyclarity",
	"pycox",
	"pyfemtet",
	"pyg-nightly",
	"pygrinder",
	"pyhealth",
	"pyhf",
	"pyiqa",
	"pykeen",
	"pykeops",
	"pylance",
	"pylineaGT",
	"pymanopt",
	"pymde",
	"pypots",
	"pyqlib",
	"pyqtorch",
	"pyro-ppl",
	"pysentimiento",
	"pyserini",
	"pysr",
	"pythainlp",
	"python-doctr",
	"pytorch-fid",
	"pytorch-forecasting",
	"pytorch-ignite",
	"pytorch-kinematics",
	"pytorch-lightning",
	"pytorch-lightning-bolts",
	"pytorch-metric-learning",
	"pytorch-model-summary",
	"pytorch-msssim",
	"pytorch-pfn-extras",
	"pytorch-pretrained-bert",
	"pytorch-ranger",
	"pytorch-seed",
	"pytorch-tabnet",
	"pytorch-tabular",
	"pytorch-toolbelt",
	"pytorch-transformers",
	"pytorch-transformers-pvt-nightly",
	"pytorch-triton-rocm",
	"pytorch-warmup",
	"pytorch-wavelets",
	"pytorch_optimizer",
	"pytorch_revgrad",
	"pytorchcv",
	"pytorchltr2",
	"pyvene",
	"pyvespa",
	"qianfan",
	"qibo",
	"qiskit-machine-learning",
	"qtorch",
	"quanto",
	"quick-anomaly-detector",
	"rastervision",
	"rastervision-pytorch-backend",
	"rastervision-pytorch-learner",
	"ray-lightning",
	"rclip",
	"realesrgan",
	"recbole",
	"recommenders",
	"redcat",
	"reformer-pytorch",
	"regex-sampler",
	"replay-rec",
	"rerankers",
	"research-framework",
	"resemble-enhance",
	"resnest",
	"rf-clip",
	"rf-groundingdino",
	"rfconv",
	"rich-logger",
	"ring-attention-pytorch",
	"rltrade-test",
	"rotary-embedding-torch",
	"rsp-ml",
	"rust-circuit",
	"s2fft",
	"s3prl",
	"s3torchconnector",
	"saferx",
	"safetensors",
	"sagemaker-huggingface-inference-toolkit",
	"sagemaker-ssh-helper",
	"salesforce-lavis",
	"salesforce-merlion",
	"samv2",
	"scib",
	"scib-metrics",
	"scvi-tools",
	"sdmetrics",
	"secretflow",
	"segment-anything-hq",
	"segment-anything-py",
	"segmentation-models-pytorch",
	"self-rewarding-lm-pytorch",
	"semantic-kernel",
	"semantic-router",
	"senselab",
	"sent2vec",
	"sentence-transformers",
	"sequence-model-train",
	"serotiny",
	"sevenn",
	"sglang",
	"shap",
	"silero-api-server",
	"silero-vad",
	"silicondiff-npu",
	"simclr",
	"simple-lama-inpainting",
	"sinabs",
	"sixdrepnet",
	"skforecast",
	"skorch",
	"skrl",
	"skt",
	"sktime",
	"sktmls",
	"slangtorch",
	"smartnoise-synth",
	"smashed",
	"smplx",
	"smqtk-descriptors",
	"smqtk-detection",
	"snntorch",
	"snorkel",
	"snowflake-ml-python",
	"so-vits-svc-fork",
	"sonusai",
	"sony-custom-layers",
	"sotopia",
	"spacr",
	"spacy-curated-transformers",
	"spacy-experimental",
	"spacy-huggingface-pipelines",
	"spacy-llm",
	"spacy-transformers",
	"span-marker",
	"spandrel",
	"spandrel-extra-arches",
	"sparrow-python",
	"spatialdata",
	"speechbrain",
	"speechtokenizer",
	"spikeinterface",
	"spikingjelly",
	"spotiflow",
	"spotpython",
	"spotriver",
	"squirrel-core",
	"stable-baselines3",
	"stable-diffusion-sdkit",
	"stable-ts",
	"stanford-stk",
	"stanfordnlp",
	"stanza",
	"startorch",
	"streamtasks",
	"struct-eqtable",
	"stylegan2-pytorch",
	"supar",
	"super-gradients",
	"super-image",
	"superlinked",
	"supervisely",
	"surya-ocr",
	"svdiff-pytorch",
	"swarm-models",
	"swarmauri",
	"swarms-memory",
	"swebench",
	"syft",
	"sympytorch",
	"syne-tune",
	"synthcity",
	"t5",
	"tab-transformer-pytorch",
	"tabpfn",
	"taming-transformers",
	"taming-transformers-rom1504",
	"taskwiz",
	"tbparse",
	"tecton",
	"tensor-parallel",
	"tensorcircuit-nightly",
	"tensordict",
	"tensordict-nightly",
	"tensorizer",
	"tensorrt-llm",
	"texify",
	"text2text",
	"textattack",
	"tfkit",
	"thepipe-api",
	"thinc",
	"thingsvision",
	"thirdai",
	"thop",
	"tianshou",
	"tidy3d",
	"timesfm",
	"timm",
	"tipo-kgen",
	"tmnt",
	"toad",
	"tomesd",
	"top2vec",
	"torch",
	"torch-audiomentations",
	"torch-dct",
	"torch-delaunay",
	"torch-directml",
	"torch-ema",
	"torch-encoding",
	"torch-fidelity",
	"torch-geometric",
	"torch-geopooling",
	"torch-harmonics",
	"torch-kmeans",
	"torch-lr-finder",
	"torch-max-mem",
	"torch-npu",
	"torch-optimi",
	"torch-optimizer",
	"torch-ort",
	"torch-pitch-shift",
	"torch-ppr",
	"torch-pruning",
	"torch-snippets",
	"torch-stoi",
	"torch-struct",
	"torch-tensorrt",
	"torchani",
	"torchattacks",
	"torchaudio",
	"torchbiggraph",
	"torchcam",
	"torchcde",
	"torchcfm",
	"torchcrepe",
	"torchdata",
	"torchdatasets-nightly",
	"torchdiffeq",
	"torchdyn",
	"torchestra",
	"torcheval",
	"torcheval-nightly",
	"torchextractor",
	"torchfcpe",
	"torchfun",
	"torchfunc-nightly",
	"torchgeo",
	"torchgeometry",
	"torchio",
	"torchjpeg",
	"torchlayers-nightly",
	"torchmeta",
	"torchmetrics",
	"torchmocks",
	"torchpack",
	"torchpippy",
	"torchpq",
	"torchprofile",
	"torchquantlib",
	"torchrec",
	"torchrec-nightly",
	"torchrec-nightly-cpu",
	"torchrl",
	"torchrl-nightly",
	"torchscale",
	"torchsde",
	"torchseg",
	"torchserve",
	"torchserve-nightly",
	"torchsnapshot-nightly",
	"torchsr",
	"torchstain",
	"torchsummaryX",
	"torchtext",
	"torchtnt",
	"torchtnt-nightly",
	"torchtyping",
	"torchutil",
	"torchvinecopulib",
	"torchvision",
	"torchviz",
	"torchx",
	"torchx-nightly",
	"torchxrayvision",
	"totalspineseg",
	"tracebloc-package-dev",
	"trainer",
	"transformer-engine",
	"transformer-lens",
	"transformer-smaller-training-vocab",
	"transformers",
	"transformers-domain-adaptation",
	"transfusion-pytorch",
	"transparent-background",
	"treescope",
	"trolo",
	"tsai",
	"tslearn",
	"ttspod",
	"txtai",
	"tyro",
	"u8darts",
	"uhg",
	"uitestrunner-syberos",
	"ultimate-rvc",
	"ultralytics",
	"ultralytics-thop",
	"unav",
	"unbabel-comet",
	"underthesea",
	"unfoldNd",
	"unimernet",
	"unitorch",
	"unitxt",
	"unsloth",
	"unsloth-zoo",
	"unstructured",
	"unstructured-inference",
	"utilsd",
	"v-diffusion-pytorch",
	"vIQA",
	"vectice",
	"vector-quantize-pytorch",
	"vectorhub-nightly",
	"versatile-audio-upscaler",
	"vertexai",
	"vesin",
	"vgg-pytorch",
	"video-representations-extractor",
	"viser",
	"vision-datasets",
	"visionmetrics",
	"visu3d",
	"vit-pytorch",
	"viturka-nn",
	"vllm",
	"vllm-flash-attn",
	"vocos",
	"vollseg",
	"vtorch",
	"wavmark",
	"wdoc",
	"whisper-live",
	"whisper-timestamped",
	"whisperx",
	"wilds",
	"wordllama",
	"worker-automate-hub",
	"wxbtool",
	"x-clip",
	"x-transformers",
	"xaitk_saliency",
	"xformers",
	"xgrammar",
	"xinference",
	"xtts-api-server",
	"yolo-poser",
	"yolov5",
	"yolov7-package",
	"yta-general-utils",
	"zensvi",
	"zetascale",
	"zuko",
}
